Using SincNet for Learning Pathological Voice Disorders

Deep learning techniques such as convolutional neural networks (CNN) have been successfully applied to identify pathological voices. However, the major disadvantage of using these advanced models is the lack of interpretability in explaining the predicted outcomes. This drawback further introduces a...

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Detalles Bibliográficos
Autores principales: Hung, Chao-Hsiang, Wang, Syu-Siang, Wang, Chi-Te, Fang, Shih-Hau
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460101/
https://www.ncbi.nlm.nih.gov/pubmed/36081092
http://dx.doi.org/10.3390/s22176634

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460101/
https://www.ncbi.nlm.nih.gov/pubmed/36081092
http://dx.doi.org/10.3390/s22176634

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